This table lists the benchmark results for the high-res multi-view scenario. The following metrics are evaluated:

(*) For exact definitions, detailing how potentially incomplete ground truth is taken into account, see our paper.

The datasets are grouped into different categories, and result averages are computed for a category and method if results of the method are available for all datasets within the category. Note that the category "all" includes both the high-res multi-view and the low-res many-view scenarios.

Methods with suffix _ROB may participate in the Robust Vision Challenge.

Click a dataset result cell to show a visualization of the reconstruction. For training datasets, ground truth and accuracy / completeness visualizations are also available. The visualizations may not work with mobile browsers.




Method Infoallhigh-res
multi-view
indooroutdoorcourty.delive.electrofacadekickermeadowofficepipesplaygr.reliefrelief.terraceterrai.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted by
SD-MVS97.35 497.73 396.90 1097.35 3898.66 1097.85 2296.25 796.86 294.54 596.75 899.13 296.99 596.94 1996.58 1898.39 3299.20 1
APDe-MVS97.79 197.96 297.60 199.20 199.10 398.88 196.68 296.81 394.64 497.84 198.02 797.24 297.74 497.02 998.97 199.16 2
TSAR-MVS + MP.97.31 597.64 596.92 997.28 4098.56 1998.61 395.48 2296.72 494.03 1096.73 998.29 597.15 397.61 896.42 2198.96 299.13 3
TSAR-MVS + ACMM96.19 1997.39 994.78 3297.70 3498.41 2997.72 2395.49 2196.47 786.66 5796.35 1097.85 993.99 4297.19 1496.37 2397.12 12199.13 3
CSCG95.68 2695.46 3195.93 2398.71 1999.07 497.13 3093.55 3195.48 2093.35 1590.61 3993.82 3995.16 3094.60 7095.57 4097.70 9999.08 5
ESAPD97.65 297.98 197.27 499.12 299.14 298.66 296.80 195.74 1593.46 1397.72 299.48 196.76 1397.77 296.92 1298.83 499.07 6
SteuartSystems-ACMMP97.10 1097.49 696.65 1498.97 1298.95 598.43 695.96 1295.12 2491.46 2496.85 697.60 1396.37 2197.76 397.16 698.68 698.97 7
Skip Steuart: Steuart Systems R&D Blog.
HSP-MVS97.51 397.70 497.29 399.00 1099.17 198.61 396.41 595.88 1494.34 797.72 299.04 396.93 897.29 1295.90 3598.45 2298.94 8
canonicalmvs93.08 4693.09 4693.07 5594.24 7197.86 4495.45 5187.86 9894.00 3887.47 5188.32 4782.37 8795.13 3193.96 8796.41 2298.27 5398.73 9
HPM-MVS++97.22 797.40 897.01 799.08 498.55 2098.19 1296.48 496.02 1393.28 1696.26 1298.71 496.76 1397.30 1196.25 2998.30 4698.68 10
DeepPCF-MVS92.65 295.50 2996.96 1493.79 4596.44 5098.21 3393.51 8494.08 3096.94 189.29 3893.08 2696.77 2193.82 4697.68 597.40 395.59 18198.65 11
TSAR-MVS + GP.95.86 2496.95 1694.60 3794.07 7898.11 3796.30 3891.76 4495.67 1691.07 2796.82 797.69 1295.71 2695.96 4095.75 3898.68 698.63 12
DeepC-MVS92.10 395.22 3094.77 3495.75 2697.77 3298.54 2197.63 2495.96 1295.07 2788.85 4185.35 6091.85 4695.82 2496.88 2197.10 798.44 2398.63 12
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
3Dnovator+90.56 595.06 3194.56 3695.65 2798.11 2698.15 3697.19 2891.59 4695.11 2693.23 1881.99 8994.71 3695.43 2996.48 2896.88 1398.35 3598.63 12
ACMMP_Plus96.93 1297.27 1096.53 1999.06 598.95 598.24 1196.06 1095.66 1790.96 2995.63 1997.71 1196.53 1797.66 696.68 1598.30 4698.61 15
HFP-MVS97.11 997.19 1197.00 898.97 1298.73 898.37 995.69 1696.60 593.28 1696.87 596.64 2297.27 196.64 2496.33 2798.44 2398.56 16
MP-MVScopyleft96.56 1796.72 1896.37 2098.93 1598.48 2498.04 1795.55 1894.32 3590.95 3195.88 1797.02 1996.29 2296.77 2296.01 3498.47 1798.56 16
APD-MVScopyleft97.12 897.05 1397.19 599.04 698.63 1598.45 596.54 394.81 3193.50 1196.10 1497.40 1696.81 1097.05 1696.82 1498.80 598.56 16
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
CP-MVS96.68 1696.59 2296.77 1398.85 1798.58 1898.18 1395.51 2095.34 2192.94 1995.21 2396.25 2496.79 1296.44 3195.77 3798.35 3598.56 16
PVSNet_Blended_VisFu91.92 5892.39 5791.36 7695.45 6497.85 4592.25 10289.54 7288.53 9087.47 5179.82 9890.53 5685.47 14796.31 3595.16 4697.99 8498.56 16
MCST-MVS96.83 1497.06 1296.57 1598.88 1698.47 2698.02 1896.16 995.58 1990.96 2995.78 1897.84 1096.46 1997.00 1896.17 3198.94 398.55 21
CNVR-MVS97.30 697.41 797.18 699.02 998.60 1798.15 1496.24 896.12 1194.10 895.54 2097.99 896.99 597.97 197.17 598.57 1198.50 22
X-MVS96.07 2296.33 2495.77 2598.94 1498.66 1097.94 2095.41 2495.12 2488.03 4593.00 2796.06 2595.85 2396.65 2396.35 2498.47 1798.48 23
train_agg96.15 2196.64 2195.58 2998.44 2298.03 3998.14 1695.40 2593.90 3987.72 4996.26 1298.10 695.75 2596.25 3695.45 4298.01 8298.47 24
MSLP-MVS++96.05 2395.63 2796.55 1798.33 2498.17 3596.94 3194.61 2894.70 3394.37 689.20 4495.96 2896.81 1095.57 4597.33 498.24 5898.47 24
MPTG96.98 1196.68 1997.33 299.09 398.71 998.43 696.01 1196.11 1295.19 392.89 2897.32 1796.84 997.20 1396.09 3298.44 2398.46 26
ACMMPR96.92 1396.96 1496.87 1198.99 1198.78 798.38 895.52 1996.57 692.81 2096.06 1595.90 2997.07 496.60 2696.34 2698.46 1998.42 27
QAPM94.13 4194.33 4093.90 4297.82 3198.37 3196.47 3690.89 5392.73 4885.63 6685.35 6093.87 3894.17 4095.71 4495.90 3598.40 3098.42 27
UGNet91.52 6493.41 4489.32 9594.13 7397.15 6791.83 11389.01 7990.62 6285.86 6386.83 5091.73 4877.40 19594.68 6794.43 5397.71 9798.40 29
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
DELS-MVS93.71 4393.47 4394.00 3996.82 4798.39 3096.80 3391.07 5189.51 8189.94 3683.80 7689.29 6290.95 7697.32 997.65 298.42 2698.32 30
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
NCCC96.75 1596.67 2096.85 1299.03 898.44 2898.15 1496.28 696.32 892.39 2192.16 3097.55 1496.68 1697.32 996.65 1798.55 1298.26 31
MVS_030494.30 4094.68 3593.86 4496.33 5298.48 2497.41 2591.20 4892.75 4786.96 5586.03 5593.81 4092.64 5796.89 2096.54 2098.61 1098.24 32
ACMMPcopyleft95.54 2795.49 3095.61 2898.27 2598.53 2297.16 2994.86 2694.88 3089.34 3795.36 2291.74 4795.50 2895.51 4694.16 5898.50 1598.22 33
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence
CANet94.85 3394.92 3394.78 3297.25 4198.52 2397.20 2791.81 4293.25 4391.06 2886.29 5294.46 3792.99 5397.02 1796.68 1598.34 3798.20 34
PGM-MVS96.16 2096.33 2495.95 2299.04 698.63 1598.32 1092.76 3693.42 4290.49 3496.30 1195.31 3496.71 1596.46 2996.02 3398.38 3398.19 35
3Dnovator90.28 794.70 3794.34 3995.11 3098.06 2798.21 3396.89 3291.03 5294.72 3291.45 2582.87 8093.10 4294.61 3496.24 3797.08 898.63 998.16 36
EPNet93.92 4294.40 3793.36 4897.89 2996.55 8096.08 4192.14 3991.65 5589.16 3994.07 2590.17 6087.78 10695.24 4894.97 4897.09 12398.15 37
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
anonymousdsp84.51 14685.85 13182.95 18486.30 19893.51 12685.77 19580.38 17578.25 18663.42 20273.51 13672.20 12684.64 15593.21 10592.16 11097.19 11698.14 38
CPTT-MVS95.54 2795.07 3296.10 2197.88 3097.98 4297.92 2194.86 2694.56 3492.16 2291.01 3795.71 3096.97 794.56 7193.50 7796.81 15698.14 38
HQP-MVS92.39 5392.49 5492.29 6095.65 5895.94 9595.64 4992.12 4092.46 5079.65 10091.97 3282.68 8492.92 5593.47 9992.77 9897.74 9598.12 40
DeepC-MVS_fast93.32 196.48 1896.42 2396.56 1698.70 2098.31 3297.97 1995.76 1596.31 992.01 2391.43 3595.42 3396.46 1997.65 797.69 198.49 1698.12 40
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
PHI-MVS95.86 2496.93 1794.61 3697.60 3698.65 1496.49 3593.13 3494.07 3787.91 4897.12 497.17 1893.90 4596.46 2996.93 1198.64 898.10 42
EPP-MVSNet92.13 5593.06 4791.05 7993.66 9697.30 5892.18 10587.90 9490.24 6783.63 7786.14 5490.52 5890.76 7894.82 6494.38 5498.18 6497.98 43
CDPH-MVS94.80 3695.50 2993.98 4198.34 2398.06 3897.41 2593.23 3392.81 4682.98 8192.51 2994.82 3593.53 4896.08 3996.30 2898.42 2697.94 44
UniMVSNet (Re)86.22 12285.46 13587.11 12188.34 15094.42 10789.65 15787.10 10584.39 13074.61 11870.41 15068.10 15085.10 15191.17 13091.79 11897.84 8997.94 44
FC-MVSNet-train90.55 7190.19 7490.97 8093.78 9295.16 9992.11 10988.85 8187.64 9583.38 8084.36 7378.41 10289.53 8894.69 6693.15 9198.15 6597.92 46
MVS_111021_HR94.84 3495.91 2693.60 4697.35 3898.46 2795.08 5391.19 4994.18 3685.97 6095.38 2192.56 4493.61 4796.61 2596.25 2998.40 3097.92 46
CLD-MVS92.50 5291.96 6393.13 5293.93 8396.24 9195.69 4788.77 8292.92 4589.01 4088.19 4881.74 9193.13 5293.63 9293.08 9398.23 5997.91 48
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LGP-MVS_train91.83 6092.04 6291.58 6695.46 6296.18 9395.97 4489.85 6090.45 6477.76 10691.92 3380.07 9692.34 6094.27 7793.47 7898.11 7097.90 49
IS_MVSNet91.87 5993.35 4590.14 8894.09 7797.73 4993.09 8988.12 9088.71 8679.98 9884.49 6990.63 5587.49 11197.07 1596.96 1098.07 7697.88 50
PVSNet_BlendedMVS92.80 4892.44 5593.23 4996.02 5497.83 4693.74 7990.58 5491.86 5290.69 3285.87 5882.04 8890.01 8596.39 3295.26 4498.34 3797.81 51
PVSNet_Blended92.80 4892.44 5593.23 4996.02 5497.83 4693.74 7990.58 5491.86 5290.69 3285.87 5882.04 8890.01 8596.39 3295.26 4498.34 3797.81 51
IB-MVS85.10 1487.98 10687.97 10087.99 11194.55 6996.86 7584.52 19888.21 8986.48 10888.54 4474.41 13277.74 10774.10 20589.65 15892.85 9698.06 7897.80 53
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
ACMP89.13 992.03 5691.70 6592.41 5994.92 6796.44 8693.95 7489.96 5991.81 5485.48 7090.97 3879.12 9992.42 5993.28 10492.55 10197.76 9397.74 54
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
OpenMVScopyleft88.18 1192.51 5191.61 6693.55 4797.74 3398.02 4095.66 4890.46 5689.14 8386.50 5875.80 12390.38 5992.69 5694.99 5195.30 4398.27 5397.63 55
UniMVSNet_NR-MVSNet86.80 11785.86 13087.89 11488.17 15294.07 11390.15 14088.51 8584.20 13473.45 12572.38 14370.30 13988.95 9890.25 14692.21 10898.12 6897.62 56
DU-MVS86.12 12484.81 13887.66 11587.77 15993.78 11890.15 14087.87 9684.40 12873.45 12570.59 14764.82 18688.95 9890.14 14792.33 10597.76 9397.62 56
PCF-MVS90.19 892.98 4792.07 6194.04 3896.39 5197.87 4396.03 4295.47 2387.16 9985.09 7484.81 6893.21 4193.46 5091.98 11991.98 11697.78 9297.51 58
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
conf0.05thres100087.90 10785.88 12990.26 8593.74 9396.39 8892.67 9388.94 8080.97 15477.71 10870.15 15268.40 14990.42 8394.46 7593.29 8398.09 7297.49 59
MVS_111021_LR94.84 3495.57 2894.00 3997.11 4397.72 5194.88 5691.16 5095.24 2388.74 4296.03 1691.52 5094.33 3895.96 4095.01 4797.79 9197.49 59
NR-MVSNet85.46 13484.54 14086.52 12988.33 15193.78 11890.45 12487.87 9684.40 12871.61 13770.59 14762.09 20182.79 17191.75 12191.75 11998.10 7197.44 61
MAR-MVS92.71 5092.63 5192.79 5797.70 3497.15 6793.75 7887.98 9290.71 6085.76 6586.28 5386.38 6694.35 3794.95 5395.49 4197.22 11597.44 61
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
abl_694.78 3297.46 3797.99 4195.76 4691.80 4393.72 4091.25 2691.33 3696.47 2394.28 3998.14 6697.39 63
Vis-MVSNetpermissive89.36 8891.49 6886.88 12492.10 11397.60 5392.16 10885.89 10984.21 13375.20 11782.58 8487.13 6377.40 19595.90 4295.63 3998.51 1397.36 64
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
DI_MVS_plusplus_trai91.05 6790.15 7592.11 6192.67 11096.61 7896.03 4288.44 8690.25 6685.92 6273.73 13384.89 7591.92 6194.17 8094.07 6297.68 10197.31 65
Effi-MVS+89.79 8089.83 8089.74 8992.98 10496.45 8593.48 8684.24 13087.62 9676.45 11381.76 9077.56 10993.48 4994.61 6993.59 7097.82 9097.22 66
CP-MVSNet83.11 18182.15 18184.23 16887.20 18692.70 15686.42 18883.53 14077.83 18867.67 18166.89 17460.53 20982.47 17489.23 17490.65 13798.08 7597.20 67
TranMVSNet+NR-MVSNet85.57 13284.41 14286.92 12387.67 16293.34 13590.31 13188.43 8783.07 14170.11 15969.99 15465.28 18186.96 11789.73 15592.27 10698.06 7897.17 68
Baseline_NR-MVSNet85.28 13583.42 15287.46 11987.77 15990.80 19389.90 15187.69 10083.93 13774.16 12164.72 19666.43 16587.48 11290.14 14790.83 12997.73 9697.11 69
PS-CasMVS82.53 18681.54 18983.68 17387.08 19192.54 16286.20 19083.46 14176.46 19665.73 19465.71 19159.41 21481.61 18289.06 17990.55 13998.03 8097.07 70
WR-MVS83.14 17983.38 15482.87 18587.55 16693.29 13786.36 18984.21 13180.05 16566.41 19066.91 17166.92 16375.66 20188.96 18090.56 13897.05 12596.96 71
CHOSEN 1792x268888.57 10287.82 10389.44 9495.46 6296.89 7493.74 7985.87 11089.63 7977.42 10961.38 20683.31 7988.80 10393.44 10093.16 9095.37 18696.95 72
tfpnnormal83.80 16581.26 19486.77 12689.60 13893.26 14089.72 15687.60 10372.78 20870.44 15060.53 20961.15 20685.55 14592.72 10791.44 12497.71 9796.92 73
WR-MVS_H82.86 18482.66 17283.10 18187.44 17193.33 13685.71 19683.20 14477.36 19068.20 17866.37 17865.23 18276.05 20089.35 16390.13 16397.99 8496.89 74
tfpn88.67 9886.57 11891.12 7894.14 7297.15 6793.51 8489.37 7485.49 12279.91 9975.26 12962.24 19891.39 7295.00 5093.95 6598.41 2896.88 75
v7n82.25 18981.54 18983.07 18285.55 20292.58 16086.68 18781.10 16976.54 19465.97 19262.91 20360.56 20882.36 17591.07 13290.35 14496.77 15796.80 76
view80089.21 9587.44 11391.27 7794.13 7397.18 6693.74 7989.53 7385.60 12180.34 9675.29 12768.89 14491.57 7194.97 5293.36 8098.34 3796.79 77
MVS_Test91.81 6192.19 5991.37 7593.24 10296.95 7294.43 5886.25 10691.45 5783.45 7986.31 5185.15 7392.93 5493.99 8394.71 5197.92 8796.77 78
thres600view789.28 9387.47 11291.39 7394.12 7597.25 6293.94 7589.74 6785.62 12080.63 9475.24 13069.33 14391.66 7094.92 5593.23 8498.27 5396.72 79
diffmvs91.35 6591.81 6490.82 8192.80 10795.62 9793.74 7986.04 10793.17 4485.82 6484.48 7089.74 6190.23 8490.49 14492.45 10296.29 16796.72 79
view60089.29 9287.48 11191.41 7294.10 7697.21 6493.96 7289.70 7085.67 11780.75 9375.29 12769.35 14291.70 6994.92 5593.23 8498.26 5796.69 81
AdaColmapbinary95.02 3293.71 4196.54 1898.51 2197.76 4896.69 3495.94 1493.72 4093.50 1189.01 4590.53 5696.49 1894.51 7393.76 6898.07 7696.69 81
LTVRE_ROB81.71 1682.44 18881.84 18683.13 17989.01 14192.99 14888.90 16782.32 15566.26 22054.02 21974.68 13159.62 21388.87 10190.71 13992.02 11495.68 17896.62 83
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
tfpn11190.16 7888.99 8791.52 7093.90 8497.26 5994.31 6389.75 6485.87 11081.10 8984.41 7170.38 13591.76 6494.92 5593.51 7198.29 5096.61 84
conf200view1189.55 8487.86 10191.52 7093.90 8497.26 5994.31 6389.75 6485.87 11081.10 8976.46 11770.38 13591.76 6494.92 5593.51 7198.29 5096.61 84
tfpn200view989.55 8487.86 10191.53 6893.90 8497.26 5994.31 6389.74 6785.87 11081.15 8776.46 11770.38 13591.76 6494.92 5593.51 7198.28 5296.61 84
v5282.11 19081.50 19182.82 18784.59 20892.51 16685.96 19480.24 17876.38 19866.83 18863.12 20164.62 18982.56 17287.70 18689.55 17896.73 15896.61 84
V482.11 19081.49 19282.83 18684.60 20792.53 16485.97 19280.24 17876.35 19966.87 18763.17 20064.55 19082.54 17387.70 18689.55 17896.73 15896.61 84
thres40089.40 8787.58 10991.53 6894.06 7997.21 6494.19 7189.83 6185.69 11681.08 9175.50 12569.76 14191.80 6294.79 6593.51 7198.20 6296.60 89
ACMH85.51 1387.31 11386.59 11788.14 10993.96 8094.51 10489.00 16687.99 9181.58 14770.15 15678.41 10671.78 12990.60 8091.30 12891.99 11597.17 11796.58 90
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CNLPA93.69 4492.50 5395.06 3197.11 4397.36 5593.88 7693.30 3295.64 1893.44 1480.32 9690.73 5494.99 3293.58 9493.33 8197.67 10296.57 91
Vis-MVSNet (Re-imp)90.54 7292.76 5087.94 11293.73 9496.94 7392.17 10787.91 9388.77 8576.12 11583.68 7790.80 5279.49 19096.34 3496.35 2498.21 6196.46 92
Fast-Effi-MVS+88.56 10387.99 9989.22 9691.56 12095.21 9892.29 10182.69 14886.82 10177.73 10776.24 12173.39 12393.36 5194.22 7993.64 6997.65 10396.43 93
thres20089.49 8687.72 10491.55 6793.95 8197.25 6294.34 6189.74 6785.66 11881.18 8676.12 12270.19 14091.80 6294.92 5593.51 7198.27 5396.40 94
MVSTER91.73 6291.61 6691.86 6393.18 10394.56 10294.37 5987.90 9490.16 7188.69 4389.23 4381.28 9388.92 10095.75 4393.95 6598.12 6896.37 95
v14419283.48 17582.23 18084.94 15986.65 19492.84 15289.63 15882.48 15277.87 18767.36 18365.33 19363.50 19386.51 12289.72 15689.99 17097.03 12696.35 96
IterMVS-LS88.60 9988.45 9388.78 10192.02 11492.44 16792.00 11283.57 13986.52 10678.90 10478.61 10581.34 9289.12 9590.68 14093.18 8997.10 12296.35 96
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v119283.56 17382.35 17684.98 15886.84 19392.84 15290.01 14682.70 14778.54 18366.48 18964.88 19562.91 19486.91 11890.72 13890.25 14996.94 13896.32 98
v74881.57 19680.68 19882.60 19185.55 20292.07 17383.57 20082.06 15874.64 20569.97 16163.11 20261.46 20478.09 19387.30 19189.88 17296.37 16596.32 98
v192192083.30 17782.09 18384.70 16186.59 19692.67 15889.82 15582.23 15678.32 18465.76 19364.64 19762.35 19786.78 12190.34 14590.02 16897.02 12796.31 100
v1084.18 15683.17 16285.37 14787.34 17792.68 15790.32 12781.33 16579.93 16869.23 17066.33 18165.74 17887.03 11690.84 13490.38 14296.97 13296.29 101
V4284.48 14883.36 15585.79 14087.14 18893.28 13890.03 14483.98 13480.30 16271.20 14266.90 17367.17 15785.55 14589.35 16390.27 14696.82 15596.27 102
v784.37 15483.23 16085.69 14287.34 17793.19 14290.32 12783.10 14579.88 16969.33 16766.33 18165.75 17687.06 11590.83 13590.38 14296.97 13296.26 103
PEN-MVS82.49 18781.58 18883.56 17586.93 19292.05 17686.71 18683.84 13576.94 19364.68 19867.24 16360.11 21081.17 18487.78 18590.70 13698.02 8196.21 104
thres100view90089.36 8887.61 10791.39 7393.90 8496.86 7594.35 6089.66 7185.87 11081.15 8776.46 11770.38 13591.17 7394.09 8193.43 7998.13 6796.16 105
v114484.03 16282.88 16885.37 14787.17 18793.15 14690.18 13983.31 14278.83 18167.85 17965.99 18764.99 18486.79 12090.75 13790.33 14596.90 14796.15 106
OMC-MVS94.49 3894.36 3894.64 3597.17 4297.73 4995.49 5092.25 3896.18 1090.34 3588.51 4692.88 4394.90 3394.92 5594.17 5797.69 10096.15 106
Effi-MVS+-dtu87.51 11188.13 9886.77 12691.10 12594.90 10190.91 11982.67 14983.47 13971.55 13881.11 9577.04 11289.41 9092.65 10991.68 12295.00 19296.09 108
v884.45 15083.30 15985.80 13987.53 16792.95 14990.31 13182.46 15380.46 16071.43 13966.99 16767.16 15886.14 13189.26 16990.22 15896.94 13896.06 109
conf0.0189.34 9087.39 11491.61 6593.88 8897.34 5794.31 6389.82 6385.87 11081.53 8577.93 10866.15 17591.76 6494.90 6293.51 7198.32 4296.05 110
v124082.88 18381.66 18784.29 16786.46 19792.52 16589.06 16481.82 16177.16 19165.09 19764.17 19861.50 20386.36 12390.12 14990.13 16396.95 13696.04 111
CDS-MVSNet88.34 10488.71 9187.90 11390.70 13294.54 10392.38 9686.02 10880.37 16179.42 10179.30 9983.43 7882.04 17793.39 10194.01 6396.86 15495.93 112
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
v684.67 14283.36 15586.20 13187.53 16793.49 12790.34 12685.16 12380.58 15771.13 14366.97 16867.10 15986.11 13589.25 17290.22 15896.93 14195.89 113
v1neww84.65 14383.34 15786.18 13387.53 16793.49 12790.32 12785.17 12180.57 15871.02 14766.93 16967.04 16186.13 13389.26 16990.23 15596.93 14195.88 114
v7new84.65 14383.34 15786.18 13387.53 16793.49 12790.32 12785.17 12180.57 15871.02 14766.93 16967.04 16186.13 13389.26 16990.23 15596.93 14195.88 114
Fast-Effi-MVS+-dtu86.25 12187.70 10584.56 16490.37 13493.70 12190.54 12378.14 19083.50 13865.37 19681.59 9375.83 11886.09 13691.70 12291.70 12096.88 15295.84 116
conf0.00289.25 9487.21 11591.62 6493.87 8997.35 5694.31 6389.83 6185.87 11081.62 8478.72 10463.89 19291.76 6494.90 6293.98 6498.33 4195.77 117
v184.40 15183.01 16486.03 13587.41 17393.42 13090.31 13185.52 11679.51 17370.13 15766.66 17566.40 16685.89 13989.15 17790.19 16096.89 14995.74 118
OPM-MVS91.08 6689.34 8293.11 5496.18 5396.13 9496.39 3792.39 3782.97 14281.74 8382.55 8680.20 9593.97 4494.62 6893.23 8498.00 8395.73 119
v114184.40 15183.00 16586.03 13587.41 17393.42 13090.28 13585.53 11579.58 17070.12 15866.62 17766.27 17285.94 13789.16 17590.19 16096.89 14995.73 119
divwei89l23v2f11284.40 15183.00 16586.02 13787.42 17293.42 13090.28 13585.52 11679.57 17170.11 15966.64 17666.29 17185.91 13889.16 17590.19 16096.90 14795.73 119
CANet_DTU90.74 7092.93 4988.19 10694.36 7096.61 7894.34 6184.66 12690.66 6168.75 17390.41 4086.89 6489.78 8795.46 4794.87 4997.25 11495.62 122
v2v48284.51 14683.05 16386.20 13187.25 18593.28 13890.22 13785.40 11979.94 16769.78 16467.74 16265.15 18387.57 10889.12 17890.55 13996.97 13295.60 123
TAPA-MVS90.35 693.69 4493.52 4293.90 4296.89 4697.62 5296.15 3991.67 4594.94 2885.97 6087.72 4991.96 4594.40 3593.76 8893.06 9598.30 4695.58 124
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
ACMM88.76 1091.70 6390.43 7293.19 5195.56 5995.14 10093.35 8791.48 4792.26 5187.12 5384.02 7579.34 9893.99 4294.07 8292.68 10097.62 10695.50 125
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
GBi-Net90.21 7590.11 7690.32 8388.66 14693.65 12394.25 6885.78 11190.03 7385.56 6777.38 10986.13 6789.38 9193.97 8494.16 5898.31 4395.47 126
test190.21 7590.11 7690.32 8388.66 14693.65 12394.25 6885.78 11190.03 7385.56 6777.38 10986.13 6789.38 9193.97 8494.16 5898.31 4395.47 126
FMVSNet289.61 8389.14 8590.16 8788.66 14693.65 12394.25 6885.44 11888.57 8884.96 7573.53 13583.82 7789.38 9194.23 7894.68 5298.31 4395.47 126
pm-mvs184.55 14583.46 14985.82 13888.16 15493.39 13489.05 16585.36 12074.03 20672.43 12965.08 19471.11 13082.30 17693.48 9891.70 12097.64 10495.43 129
FMVSNet390.19 7790.06 7890.34 8288.69 14593.85 11594.58 5785.78 11190.03 7385.56 6777.38 10986.13 6789.22 9493.29 10394.36 5598.20 6295.40 130
FMVSNet187.33 11286.00 12688.89 9987.13 18992.83 15493.08 9084.46 12981.35 15182.20 8266.33 18177.96 10588.96 9793.97 8494.16 5897.54 10895.38 131
v1183.72 16682.61 17385.02 15687.34 17789.56 20289.89 15279.92 18379.55 17269.21 17166.36 18065.48 17986.84 11991.43 12790.51 14196.92 14595.37 132
v1784.10 15982.83 17085.57 14687.58 16589.72 19690.30 13480.70 17281.00 15371.72 13667.01 16667.24 15486.19 13089.32 16690.25 14996.95 13695.29 133
v1684.14 15782.86 16985.64 14487.61 16489.71 19790.36 12580.70 17281.36 15071.99 13566.91 17167.19 15686.23 12989.32 16690.25 14996.94 13895.29 133
v1884.21 15582.90 16785.74 14187.63 16389.75 19590.56 12280.82 17081.42 14972.24 13167.16 16467.23 15586.27 12689.25 17290.24 15296.92 14595.27 135
v14883.61 17082.10 18285.37 14787.34 17792.94 15087.48 17885.72 11478.92 18073.87 12365.71 19164.69 18781.78 18187.82 18489.35 18296.01 17195.26 136
v1283.59 17282.32 17885.07 15587.32 18389.57 20189.87 15480.19 18179.46 17670.19 15466.05 18666.23 17485.84 14289.44 16090.26 14897.01 12895.26 136
v1383.55 17482.29 17985.01 15787.31 18489.55 20389.89 15280.13 18279.34 17869.93 16265.92 18966.25 17385.80 14489.45 15990.27 14697.01 12895.25 138
V983.61 17082.33 17785.11 15487.34 17789.59 20090.10 14380.25 17779.38 17770.17 15566.15 18566.33 16985.82 14389.41 16190.24 15296.99 13095.23 139
v1583.67 16882.37 17585.19 15287.39 17589.63 19890.19 13880.43 17479.49 17570.27 15266.37 17866.33 16985.88 14089.34 16590.23 15596.96 13595.22 140
V1483.66 16982.38 17485.16 15387.37 17689.62 19990.15 14080.33 17679.51 17370.26 15366.30 18466.37 16785.87 14189.38 16290.24 15296.98 13195.22 140
HyFIR lowres test87.87 10886.42 12089.57 9195.56 5996.99 7192.37 9784.15 13286.64 10377.17 11057.65 21183.97 7691.08 7592.09 11892.44 10397.09 12395.16 142
DTE-MVSNet81.76 19481.04 19582.60 19186.63 19591.48 18885.97 19283.70 13676.45 19762.44 20367.16 16459.98 21178.98 19187.15 19289.93 17197.88 8895.12 143
ACMH+85.75 1287.19 11486.02 12588.56 10393.42 10194.41 10889.91 14987.66 10283.45 14072.25 13076.42 12071.99 12890.78 7789.86 15390.94 12897.32 11295.11 144
PLCcopyleft90.69 494.32 3992.99 4895.87 2497.91 2896.49 8395.95 4594.12 2994.94 2894.09 985.90 5690.77 5395.58 2794.52 7293.32 8297.55 10795.00 145
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
pmmvs680.90 19778.77 20183.38 17885.84 19991.61 18486.01 19182.54 15164.17 22170.43 15154.14 21967.06 16080.73 18690.50 14389.17 18494.74 19394.75 146
GA-MVS85.08 13785.65 13284.42 16689.77 13694.25 11089.26 16184.62 12781.19 15262.25 20475.72 12468.44 14884.14 16193.57 9691.68 12296.49 16194.71 147
TSAR-MVS + COLMAP92.39 5392.31 5892.47 5895.35 6696.46 8496.13 4092.04 4195.33 2280.11 9794.95 2477.35 11194.05 4194.49 7493.08 9397.15 11894.53 148
gg-mvs-nofinetune81.83 19383.58 14879.80 20191.57 11996.54 8193.79 7768.80 22162.71 22343.01 23155.28 21585.06 7483.65 16696.13 3894.86 5097.98 8694.46 149
LS3D91.97 5790.98 7093.12 5397.03 4597.09 7095.33 5295.59 1792.47 4979.26 10281.60 9282.77 8394.39 3694.28 7694.23 5697.14 12094.45 150
UA-Net90.81 6892.58 5288.74 10294.87 6897.44 5492.61 9488.22 8882.35 14578.93 10385.20 6295.61 3179.56 18996.52 2796.57 1998.23 5994.37 151
pmmvs583.37 17682.68 17184.18 16987.13 18993.18 14386.74 18582.08 15776.48 19567.28 18471.26 14462.70 19684.71 15490.77 13690.12 16697.15 11894.24 152
IterMVS85.25 13686.49 11983.80 17290.42 13390.77 19490.02 14578.04 19184.10 13566.27 19177.28 11378.41 10283.01 16990.88 13389.72 17795.04 19094.24 152
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
test-mter86.09 12688.38 9483.43 17787.89 15692.61 15986.89 18477.11 19584.30 13168.62 17582.57 8582.45 8584.34 15692.40 11290.11 16795.74 17594.21 154
SixPastTwentyTwo83.12 18083.44 15182.74 18887.71 16193.11 14782.30 20582.33 15479.24 17964.33 19978.77 10362.75 19584.11 16288.11 18387.89 18895.70 17794.21 154
CR-MVSNet85.48 13386.29 12184.53 16591.08 12792.10 17189.18 16273.30 21284.75 12471.08 14473.12 14177.91 10686.27 12691.48 12490.75 13396.27 16893.94 156
PatchT83.86 16385.51 13481.94 19688.41 14991.56 18578.79 21171.57 21584.08 13671.08 14470.62 14676.13 11786.27 12691.48 12490.75 13395.52 18493.94 156
tfpn_ndepth89.72 8189.91 7989.49 9293.56 10096.67 7792.34 9989.25 7590.85 5978.68 10584.25 7477.39 11084.84 15393.58 9492.76 9998.30 4693.90 158
tfpn100089.30 9189.72 8188.81 10093.83 9196.50 8291.53 11788.74 8391.20 5876.74 11284.96 6675.44 11983.50 16893.63 9292.42 10498.51 1393.88 159
FC-MVSNet-test86.15 12389.10 8682.71 18989.83 13593.18 14387.88 17684.69 12586.54 10562.18 20582.39 8783.31 7974.18 20492.52 11191.86 11797.50 10993.88 159
RPMNet84.82 14185.90 12883.56 17591.10 12592.10 17188.73 17071.11 21684.75 12468.79 17273.56 13477.62 10885.33 14890.08 15189.43 18196.32 16693.77 161
CHOSEN 280x42090.77 6992.14 6089.17 9793.86 9092.81 15593.16 8880.22 18090.21 6884.67 7689.89 4191.38 5190.57 8194.94 5492.11 11192.52 20393.65 162
test-LLR86.88 11588.28 9585.24 15091.22 12392.07 17387.41 17983.62 13784.58 12669.33 16783.00 7882.79 8184.24 15792.26 11489.81 17395.64 17993.44 163
TESTMET0.1,186.11 12588.28 9583.59 17487.80 15792.07 17387.41 17977.12 19484.58 12669.33 16783.00 7882.79 8184.24 15792.26 11489.81 17395.64 17993.44 163
CostFormer86.78 11886.05 12387.62 11892.15 11293.20 14191.55 11675.83 19988.11 9385.29 7281.76 9076.22 11687.80 10584.45 20585.21 20193.12 19793.42 165
PM-MVS80.29 19979.30 20081.45 19981.91 21388.23 20782.61 20379.01 18779.99 16667.15 18569.07 15751.39 21982.92 17087.55 18985.59 19795.08 18993.28 166
tpm83.16 17883.64 14782.60 19190.75 12991.05 18988.49 17173.99 20582.36 14467.08 18678.10 10768.79 14584.17 16085.95 19885.96 19691.09 21293.23 167
pmmvs486.00 12784.28 14388.00 11087.80 15792.01 17789.94 14884.91 12486.79 10280.98 9273.41 13866.34 16888.12 10489.31 16888.90 18696.24 16993.20 168
PMMVS89.88 7991.19 6988.35 10489.73 13791.97 17990.62 12181.92 15990.57 6380.58 9592.16 3086.85 6591.17 7392.31 11391.35 12696.11 17093.11 169
PatchMatch-RL90.30 7488.93 8891.89 6295.41 6595.68 9690.94 11888.67 8489.80 7886.95 5685.90 5672.51 12492.46 5893.56 9792.18 10996.93 14192.89 170
DWT-MVSNet_training86.83 11684.44 14189.61 9092.75 10993.82 11691.66 11582.85 14688.57 8887.48 5079.00 10164.24 19188.82 10285.18 20087.50 19094.07 19492.79 171
tfpn_n40088.58 10088.91 8988.19 10693.63 9796.34 8992.22 10389.04 7787.37 9772.14 13285.12 6373.93 12084.04 16493.65 9093.20 8798.09 7292.77 172
tfpnconf88.58 10088.91 8988.19 10693.63 9796.34 8992.22 10389.04 7787.37 9772.14 13285.12 6373.93 12084.04 16493.65 9093.20 8798.09 7292.77 172
EPNet_dtu88.32 10590.61 7185.64 14496.79 4892.27 16992.03 11190.31 5789.05 8465.44 19589.43 4285.90 7174.22 20392.76 10692.09 11295.02 19192.76 174
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CVMVSNet83.83 16485.53 13381.85 19789.60 13890.92 19087.81 17783.21 14380.11 16460.16 20976.47 11678.57 10176.79 19789.76 15490.13 16393.51 19592.75 175
TransMVSNet (Re)82.67 18580.93 19784.69 16288.71 14491.50 18687.90 17587.15 10471.54 21468.24 17763.69 19964.67 18878.51 19291.65 12390.73 13597.64 10492.73 176
tfpnview1188.80 9789.21 8488.31 10593.70 9596.24 9192.35 9889.11 7689.90 7772.14 13285.12 6373.93 12084.20 15993.75 8992.85 9698.38 3392.68 177
tpmp4_e2385.67 13084.28 14387.30 12091.96 11592.00 17892.06 11076.27 19787.95 9483.59 7876.97 11470.88 13287.52 11084.80 20484.73 20392.40 20592.61 178
thresconf0.0288.86 9688.70 9289.04 9893.59 9996.40 8792.97 9189.75 6490.16 7174.34 11984.41 7171.00 13185.16 14993.32 10293.12 9298.41 2892.52 179
EG-PatchMatch MVS81.70 19581.31 19382.15 19588.75 14393.81 11787.14 18278.89 18871.57 21264.12 20161.20 20868.46 14776.73 19891.48 12490.77 13297.28 11391.90 180
TDRefinement84.97 13983.39 15386.81 12592.97 10594.12 11192.18 10587.77 9982.78 14371.31 14168.43 15968.07 15181.10 18589.70 15789.03 18595.55 18391.62 181
pmmvs-eth3d79.78 20177.58 20582.34 19481.57 21487.46 21182.92 20281.28 16675.33 20471.34 14061.88 20452.41 21881.59 18387.56 18886.90 19295.36 18791.48 182
gm-plane-assit77.65 20578.50 20276.66 20787.96 15585.43 21564.70 22574.50 20364.15 22251.26 22261.32 20758.17 21584.11 16295.16 4993.83 6797.45 11091.41 183
EU-MVSNet78.43 20280.25 19976.30 20883.81 21087.27 21380.99 20679.52 18576.01 20054.12 21870.44 14964.87 18567.40 21286.23 19785.54 19991.95 21091.41 183
MSDG90.42 7388.25 9792.94 5696.67 4994.41 10893.96 7292.91 3589.59 8086.26 5976.74 11580.92 9490.43 8292.60 11092.08 11397.44 11191.41 183
test0.0.03 185.58 13187.69 10683.11 18091.22 12392.54 16285.60 19783.62 13785.66 11867.84 18082.79 8279.70 9773.51 20791.15 13190.79 13096.88 15291.23 186
GG-mvs-BLEND62.84 22290.21 7330.91 2330.57 23894.45 10686.99 1830.34 23788.71 860.98 24081.55 9491.58 490.86 23792.66 10891.43 12595.73 17691.11 187
TAMVS84.94 14084.95 13684.93 16088.82 14293.18 14388.44 17281.28 16677.16 19173.76 12475.43 12676.57 11582.04 17790.59 14190.79 13095.22 18890.94 188
Anonymous2023121169.76 21867.18 21972.76 21378.31 21883.47 21774.12 21678.37 18951.44 23052.48 22036.04 22945.46 22962.33 21880.49 21882.43 21190.96 21490.93 189
MS-PatchMatch87.63 10987.61 10787.65 11693.95 8194.09 11292.60 9581.52 16486.64 10376.41 11473.46 13785.94 7085.01 15292.23 11690.00 16996.43 16490.93 189
tpm cat184.13 15881.99 18586.63 12891.74 11791.50 18690.68 12075.69 20086.12 10985.44 7172.39 14270.72 13385.16 14980.89 21781.56 21691.07 21390.71 191
ambc67.96 21873.69 22579.79 22373.82 21771.61 21159.80 21046.00 22420.79 23666.15 21486.92 19480.11 22189.13 22390.50 192
COLMAP_ROBcopyleft84.39 1587.61 11086.03 12489.46 9395.54 6194.48 10591.77 11490.14 5887.16 9975.50 11673.41 13876.86 11487.33 11390.05 15289.76 17696.48 16290.46 193
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
RPSCF89.68 8289.24 8390.20 8692.97 10592.93 15192.30 10087.69 10090.44 6585.12 7391.68 3485.84 7290.69 7987.34 19086.07 19492.46 20490.37 194
Anonymous2023120678.09 20478.11 20478.07 20685.19 20589.17 20480.99 20681.24 16875.46 20358.25 21354.78 21859.90 21266.73 21388.94 18188.26 18796.01 17190.25 195
dps85.00 13883.21 16187.08 12290.73 13092.55 16189.34 15975.29 20184.94 12387.01 5479.27 10067.69 15387.27 11484.22 20783.56 20792.83 19990.25 195
USDC86.73 11985.96 12787.63 11791.64 11893.97 11492.76 9284.58 12888.19 9170.67 14980.10 9767.86 15289.43 8991.81 12089.77 17596.69 16090.05 197
tpmrst83.72 16683.45 15084.03 17192.21 11191.66 18388.74 16973.58 20988.14 9272.67 12777.37 11272.11 12786.34 12482.94 21182.05 21390.63 21689.86 198
testgi81.94 19284.09 14579.43 20289.53 14090.83 19282.49 20481.75 16280.59 15659.46 21182.82 8165.75 17667.97 20990.10 15089.52 18095.39 18589.03 199
PatchmatchNetpermissive85.70 12986.65 11684.60 16391.79 11693.40 13389.27 16073.62 20790.19 6972.63 12882.74 8381.93 9087.64 10784.99 20184.29 20692.64 20189.00 200
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
MDTV_nov1_ep1386.64 12087.50 11085.65 14390.73 13093.69 12289.96 14778.03 19289.48 8276.85 11184.92 6782.42 8686.14 13186.85 19586.15 19392.17 20788.97 201
MIMVSNet82.97 18284.00 14681.77 19882.23 21292.25 17087.40 18172.73 21481.48 14869.55 16568.79 15872.42 12581.82 18092.23 11692.25 10796.89 14988.61 202
TinyColmap84.04 16182.01 18486.42 13090.87 12891.84 18088.89 16884.07 13382.11 14669.89 16371.08 14560.81 20789.04 9690.52 14289.19 18395.76 17488.50 203
ADS-MVSNet84.08 16084.95 13683.05 18391.53 12291.75 18288.16 17370.70 21789.96 7669.51 16678.83 10276.97 11386.29 12584.08 20884.60 20492.13 20988.48 204
EPMVS85.77 12886.24 12285.23 15192.76 10893.78 11889.91 14973.60 20890.19 6974.22 12082.18 8878.06 10487.55 10985.61 19985.38 20093.32 19688.48 204
MDTV_nov1_ep13_2view80.43 19880.94 19679.84 20084.82 20690.87 19184.23 19973.80 20680.28 16364.33 19970.05 15368.77 14679.67 18784.83 20383.50 20892.17 20788.25 206
testpf74.66 20976.34 21072.71 21487.34 17780.91 22073.15 22060.30 23178.73 18261.68 20669.83 15562.22 19967.48 21076.83 22278.17 22386.28 22587.68 207
MDA-MVSNet-bldmvs73.81 21172.56 21575.28 20972.52 22788.87 20574.95 21582.67 14971.57 21255.02 21665.96 18842.84 23076.11 19970.61 22781.47 21790.38 21886.59 208
test20.0376.41 20878.49 20373.98 21085.64 20187.50 21075.89 21380.71 17170.84 21551.07 22368.06 16161.40 20554.99 22488.28 18287.20 19195.58 18286.15 209
FMVSNet584.47 14984.72 13984.18 16983.30 21188.43 20688.09 17479.42 18684.25 13274.14 12273.15 14078.74 10083.65 16691.19 12991.19 12796.46 16386.07 210
pmmvs371.13 21671.06 21771.21 21873.54 22680.19 22271.69 22364.86 22562.04 22452.10 22154.92 21748.00 22675.03 20283.75 21083.24 20990.04 22185.27 211
MIMVSNet173.19 21373.70 21372.60 21665.42 23186.69 21475.56 21479.65 18467.87 21955.30 21545.24 22756.41 21663.79 21686.98 19387.66 18995.85 17385.04 212
CMPMVSbinary61.19 1779.86 20077.46 20782.66 19091.54 12191.82 18183.25 20181.57 16370.51 21668.64 17459.89 21066.77 16479.63 18884.00 20984.30 20591.34 21184.89 213
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
N_pmnet77.55 20676.68 20878.56 20485.43 20487.30 21278.84 21081.88 16078.30 18560.61 20861.46 20562.15 20074.03 20682.04 21280.69 21990.59 21784.81 214
new-patchmatchnet72.32 21471.09 21673.74 21181.17 21684.86 21672.21 22277.48 19368.32 21854.89 21755.10 21649.31 22363.68 21779.30 21976.46 22493.03 19884.32 215
LP77.28 20776.57 20978.12 20588.17 15288.06 20880.85 20868.35 22480.78 15561.49 20757.59 21261.80 20277.59 19481.45 21682.34 21292.25 20683.96 216
testus73.65 21274.92 21172.17 21780.93 21781.11 21973.02 22175.23 20273.23 20748.77 22569.38 15646.10 22862.28 21984.84 20286.01 19592.77 20083.75 217
test235673.82 21074.82 21272.66 21581.25 21580.70 22173.47 21975.91 19872.55 20948.73 22668.14 16050.74 22063.96 21584.44 20685.57 19892.63 20281.60 218
MVS-HIRNet78.16 20377.57 20678.83 20385.83 20087.76 20976.67 21270.22 21875.82 20267.39 18255.61 21470.52 13481.96 17986.67 19685.06 20290.93 21581.58 219
new_pmnet72.29 21573.25 21471.16 21975.35 22481.38 21873.72 21869.27 22075.97 20149.84 22456.27 21356.12 21769.08 20881.73 21380.86 21889.72 22280.44 220
testmv65.29 22065.25 22265.34 22177.73 21975.55 22758.75 22873.56 21053.22 22838.47 23249.33 22138.30 23153.38 22579.13 22081.65 21490.15 21979.58 221
test123567865.29 22065.24 22365.34 22177.73 21975.54 22858.75 22873.56 21053.19 22938.47 23249.32 22238.28 23253.38 22579.13 22081.65 21490.15 21979.57 222
DeepMVS_CXcopyleft71.82 22968.37 22448.05 23377.38 18946.88 22965.77 19047.03 22767.48 21064.27 23076.89 23276.72 223
FPMVS69.87 21767.10 22073.10 21284.09 20978.35 22479.40 20976.41 19671.92 21057.71 21454.06 22050.04 22156.72 22271.19 22668.70 22784.25 22775.43 224
PMVScopyleft56.77 1861.27 22358.64 22564.35 22375.66 22354.60 23453.62 23274.23 20453.69 22758.37 21244.27 22849.38 22244.16 22969.51 22865.35 22980.07 22973.66 225
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PMMVS253.68 22655.72 22751.30 22758.84 23367.02 23254.23 23160.97 23047.50 23219.42 23734.81 23031.97 23430.88 23265.84 22969.99 22683.47 22872.92 226
test1235660.37 22461.08 22459.53 22572.42 22870.09 23057.72 23069.53 21951.31 23136.05 23447.32 22332.04 23336.19 23074.15 22580.35 22085.27 22672.29 227
no-one49.70 22749.06 22850.46 22865.32 23267.46 23138.16 23568.73 22234.38 23522.88 23624.40 23122.99 23528.55 23351.41 23170.93 22579.08 23171.81 228
111166.22 21966.42 22165.98 22075.69 22176.42 22558.90 22663.25 22657.86 22548.33 22745.46 22549.13 22461.32 22081.57 21482.80 21088.38 22471.69 229
Gipumacopyleft58.52 22556.17 22661.27 22467.14 23058.06 23352.16 23368.40 22369.00 21745.02 23022.79 23220.57 23755.11 22376.27 22379.33 22279.80 23067.16 230
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
MVEpermissive39.81 1939.52 23041.58 23037.11 23233.93 23649.06 23526.45 23854.22 23229.46 23624.15 23520.77 23410.60 24034.42 23151.12 23265.27 23049.49 23664.81 231
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN40.00 22935.74 23144.98 23057.69 23539.15 23828.05 23662.70 22835.52 23417.78 23820.90 23314.36 23944.47 22835.89 23347.86 23159.15 23456.47 232
EMVS39.04 23134.32 23244.54 23158.25 23439.35 23727.61 23762.55 22935.99 23316.40 23920.04 23514.77 23844.80 22733.12 23444.10 23257.61 23552.89 233
test1233.48 2335.31 2341.34 2350.20 2391.52 2402.17 2410.58 2366.13 2380.31 2429.85 2370.31 2423.90 2352.65 2365.28 2350.87 23911.46 234
.test124548.95 22846.78 22951.48 22675.69 22176.42 22558.90 22663.25 22657.86 22548.33 22745.46 22549.13 22461.32 22081.57 2145.58 2331.40 23711.42 235
testmvs4.35 2326.54 2331.79 2340.60 2371.82 2393.06 2400.95 2357.22 2370.88 24112.38 2361.25 2413.87 2366.09 2355.58 2331.40 23711.42 235
sosnet-low-res0.00 2340.00 2350.00 2360.00 2400.00 2410.00 2420.00 2380.00 2390.00 2430.00 2380.00 2430.00 2380.00 2370.00 2360.00 2400.00 237
sosnet0.00 2340.00 2350.00 2360.00 2400.00 2410.00 2420.00 2380.00 2390.00 2430.00 2380.00 2430.00 2380.00 2370.00 2360.00 2400.00 237
MTAPA95.36 297.46 15
MTMP95.70 196.90 20
Patchmatch-RL test18.47 239
tmp_tt50.24 22968.55 22946.86 23648.90 23418.28 23486.51 10768.32 17670.19 15165.33 18026.69 23474.37 22466.80 22870.72 233
XVS95.68 5698.66 1094.96 5488.03 4596.06 2598.46 19
X-MVStestdata95.68 5698.66 1094.96 5488.03 4596.06 2598.46 19
mPP-MVS98.76 1895.49 32
NP-MVS91.63 56
Patchmtry92.39 16889.18 16273.30 21271.08 144